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1. 11. 2013.
Recognizing emotions from human speech using 2-D neural classifier and influence the selection of input parameters on its accuracy
This paper deals with the comparison of different methods of speech features extraction for a neural network classifier. We have used a Kohohen self-organizing feature map (SOM) for output-stage classifier which is a specific type of artificial neural nets. The result of this research deals with the accuracy of emotion classifier and compares the two input combinations.